Optimal Design of Ship’s Hybrid Power System for Efficient Energy

Abstract

The International Maritime Organization regulations on the reduction of greenhouse gas emissions (GHGs) from ships require efficient dealing with this complex techno-economic and highly political problem through joint efforts of all major stakeholders from the shipbuilding industry and ship operations.The key problems of any research in the field of renewable energy, including power generation, storage, transformation and distribution, and the issues associated with limited power generation for specific loads, are the same issues that are experienced in the implementation of electric distribution technologies onboard ships. This paper analyses the effects of efficient shipping using the solar panel system and batteries to ensure continuous power supply, regardless of the weather conditions. The logistics chain of this control architecture is modelled by Colored Petri Nets. The economic analysis examines the annual costs of fuel consumption, the initial capital cost, total net cost and CO 2 emissions.

Predicting Environmental Contribution to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set

“…In order to compare how good some function fits the real data, several quality measures are used: SSE (The sum of squares due to error, see (2)), R-square (see (6)), RMSE (root mean square error, see (7)) and MSE (Mean squared normalized error, see (1)). The sum of squares of the regression (SSR, see (3)) and the total sum of squares (SST, see (4)) are used to calculate R-square.…”

“…The sum of squares of the regression (SSR, see (3)) and the total sum of squares (SST, see (4)) are used to calculate R-square. Measures are defined with help of equations (1)…”

“…Therefore, only average trends could be used for prediction of fuel consumption due to growth layers, which are the consequence of environmental contribution. It is interesting topic due to increase efforts in energy efficiency, which includes hybrid technologies [1,2]. In order to measure reduction of fuel consumption, a models for prediction of classic fuel consumption should be incorporated in the researches [2].…”

A Review and Comparison of Ship Power Simulation Methods

“…It is possible to combine different renewable energy sources which can satisfy the load demand and to predict future system behaviour. Krčum, Gudelj and Tomas in research paper [10] used HOGA, simulation software which allows combining the system modelling and optimization with genetic algorithm (GA) in one framework, for optimal designing PV-Diesel-Battery system. Authors presented the multi-objective design of the hybrid PV-diesel system with battery storage, intended to minimize both the operation cost function and reduced CO 2 emission by controlling the state of charge of the batteries.…”

Predicting External Influences to Ship’s Average Fuel Consumption Based on Non-Uniform Time Set

“…Data trend analysis is a suitable approach for predicting fuel consumption, depending on the biofouling layers as environmental contributors. In light of current increased efforts to improve energy efficiency, the above-mentioned topic is current, especially since it includes the use of hybrid technologies [3,4]. As stated in [4], fuel consumption reduction cannot be established without first exploring standard fuel consumption prediction models.…”